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The influence of social drivers on using ride-hailing services
Marketing Intelligence & Planning ( IF 4.338 ) Pub Date : 2023-08-09 , DOI: 10.1108/mip-05-2023-0223
Nripendra P. Rana , Anurag Singh , Satyanarayana Parayitam , Anubhav Mishra , Deepa Bhatt Mishra

Purpose

The pandemic has severely affected sharing economy businesses specially ride-hailing services due to high levels of human-touch points. This research investigates the impact of COVID-19 infodemic, identification, and emotional support on intention to use ride-hailing. The authors further examine the moderating effects of internalization, compliance, social currency and informational support in the proposed conceptual model.

Design/methodology/approach

The data were collected from 412 respondents from Delhi in India, and hypothesized relationships were tested using hierarchical regression.

Findings

The results indicate that COVID-19 infodemic has a negative association with intention to use ride-hailing. Identification and emotional support show a positive association with intention to use ride-hailing. The results also support internalization and compliance as moderators between infodemic, identification and intention to use ride-hailing. Further, social currency and information support moderate the relationship between emotional support and intention to use.

Originality/value

This is the first research, which adds to the expanding literature on ride-hailing, especially during the post-pandemic period of “new normal”.



中文翻译:

社会司机对网约车服务使用的影响

目的

由于人际接触点较多,此次疫情严重影响了共享经济业务,特别是网约车服务。本研究调查了 COVID-19 信息流行、识别和情感支持对使用网约车意愿的影响。作者进一步研究了所提出的概念模型中内部化、合规性、社会货币和信息支持的调节作用。

设计/方法论/途径

数据收集自印度德里的 412 名受访者,并使用层次回归测试了假设的关系。

发现

结果表明,COVID-19 信息流行病与使用网约车的意愿呈负相关。认同和情感支持与使用网约车的意愿呈正相关。研究结果还支持内化和合规作为信息流行、识别和使用乘车意愿之间的调节因素。此外,社交货币和信息支持调节情感支持和使用意图之间的关系。

原创性/价值

这是第一项研究,它丰富了有关网约车的文献,特别是在大流行后的“新常态”时期。

更新日期:2023-08-09
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